Quantitative evaluation of perceived depth of transparently-visualized medical 3D data presented with a multi-view 3D display

作     者：Yuichi Sakano Yurina Kitaura Kyoko Hasegawa Roberto Lopez-Gulliver Liang Li Hiroshi Ando Satoshi Tanaka 

作者机构：Center for Information and Neural Networks(CiNet)National Institute of Information and Communications Technology and Osaka University2B6CiNet1-4 Yamadaoka SuitaOsaka 565-0871Japan Graduate School of Frontier BiosciencesOsaka University 1-4 YamadaokaSuitaOsaka565-0871Japan Graduate School of Information Science and Engineering Ritsumeikan University1-1-1 Noji-higashi KusatsuShiga 525-8577Japan College of Information Science and Engineering Ritsumeikan University1-1-1 Noji-higashi KusatsuShiga 525-8577Japan 

出 版 物：《International Journal of Modeling, Simulation, and Scientific Computing》 (建模、仿真和科学计算国际期刊（英文）)

年 卷 期：2018年第9卷第3期

页      面：115-130页

核心收录：

学科分类：08[工学] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：JSPS KAKENHI Grant Number 16H02826 MEXT-Supported Program for the Strategic Research Foundation at Private Universities(2013–2017) 

主　　题：Transparent visualization automultiscopic 3D image psychophysics. 

摘      要：Transparent visualization is used in many fields because it can visualize not only the frontal object but also other important objects behind *** in many situations,it would be very important for the 3D structures of the visualized transparent images to be perceived as they are simulated,little is known quantitatively as to how such transparent 3D structures are *** address this question,in the present study,we conducted a psychophysical experiment in which the observers reported the perceived depth magnitude of a transparent object in medical images,presented with a multiview 3D *** the visualization,we employed a stochastic point-based rendering(SPBR)method,which was developed recently as a technique for efficient *** depth of the transparent object was smaller than the simulated *** found,however,that such depth underestimation can be alleviated to some extent by(1)applying luminance gradient inherent in the SPBR method,(2)employing high opacities,and(3)introducing binocular disparity and motion parallax produced by a multi-view 3D display.